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missing yearmon labels using ggplot scale_x_yearmon
How to display the December in xaxis when using autoplot and yearmonRotating and spacing axis labels in ggplot2working with months in zooPlotting monthly data with ggplotggplot2 stats=“identity” and stacking colors in bar plot gives “striped” bar chartBarplot without lexicographical order in ggplotggplot geom_text not seating on top of barsggplot: line plot for discrete x-axisConverting a factor time variable to yearmon variableHow to reorder the groups in a grouped bar-chartsort by month and year R
I have grouped some data by month and year, converted to yearmon using zoo and am now plotting it in ggplot. Does anyone know why one of the ticklabels are missing and there is one for 2018-07, when there is no data for that month?
Example data:
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6))
df$dates <- as.yearmon(df$dates)
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
theme_light() +
xlab('Month') +
ylab('values')+
scale_x_yearmon(format="%Y %m")
r ggplot2 graph zoo
asked Feb 8 at 11:38
Dom BurnsDom Burns
400415
add a comment |
I have grouped some data by month and year, converted to yearmon using zoo and am now plotting it in ggplot. Does anyone know why one of the ticklabels are missing and there is one for 2018-07, when there is no data for that month?
Example data:
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6))
df$dates <- as.yearmon(df$dates)
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
theme_light() +
xlab('Month') +
ylab('values')+
scale_x_yearmon(format="%Y %m")
r ggplot2 graph zoo
asked Feb 8 at 11:38
Dom BurnsDom Burns
400415
add a comment |
I have grouped some data by month and year, converted to yearmon using zoo and am now plotting it in ggplot. Does anyone know why one of the ticklabels are missing and there is one for 2018-07, when there is no data for that month?
Example data:
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6))
df$dates <- as.yearmon(df$dates)
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
theme_light() +
xlab('Month') +
ylab('values')+
scale_x_yearmon(format="%Y %m")
r ggplot2 graph zoo
asked Feb 8 at 11:38
Dom BurnsDom Burns
400415
I have grouped some data by month and year, converted to yearmon using zoo and am now plotting it in ggplot. Does anyone know why one of the ticklabels are missing and there is one for 2018-07, when there is no data for that month?
Example data:
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6))
df$dates <- as.yearmon(df$dates)
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
theme_light() +
xlab('Month') +
ylab('values')+
scale_x_yearmon(format="%Y %m")
r ggplot2 graph zoo
r ggplot2 graph zoo
asked Feb 8 at 11:38
Dom BurnsDom Burns
400415
asked Feb 8 at 11:38
Dom BurnsDom Burns
400415
asked Feb 8 at 11:38
Dom BurnsDom Burns
400415
asked Feb 8 at 11:38
Dom BurnsDom Burns
400415
asked Feb 8 at 11:38
Dom BurnsDom Burns
400415
400415
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
I think scale_x_yearmon was meant for xy plots as it calls scale_x_continuous but we can just call scale_x_continuous ourselves like this (only the line marked ## is changed):
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
theme_light() +
xlab('Month') +
ylab('values')+
scale_x_continuous(breaks=as.numeric(df$dates), labels=format(df$dates,"%Y %m")) ##
answered Feb 8 at 12:09
G. GrothendieckG. Grothendieck
153k10135243
add a comment |
I think it's an issue with plotting zoo objects. Use the standard Date class and specify the date label in ggplot. You'll need to add the day into the character string for your dates column. Then you can use scale_x_date and specify the date_labels.
library(tidyverse)
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6)) %>%
arrange(dates) %>%
mutate(dates = as.Date(paste0(dates, "-01")))
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
scale_x_date(date_breaks="1 month", date_labels="%Y %m") +
theme_light() +
xlab('Month') +
ylab('values')
answered Feb 8 at 12:01
nycrefugeenycrefugee
764418
It is not an issue with plotting zoo objects. There are no zoo objects in this problem.
– G. Grothendieck
Feb 8 at 12:16
Sorry I meant yearmon class. I don’t know what’s causing the problem but the solution above provides the desired output
– nycrefugee
Feb 8 at 12:27
add a comment |
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2 Answers
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active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
I think scale_x_yearmon was meant for xy plots as it calls scale_x_continuous but we can just call scale_x_continuous ourselves like this (only the line marked ## is changed):
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
theme_light() +
xlab('Month') +
ylab('values')+
scale_x_continuous(breaks=as.numeric(df$dates), labels=format(df$dates,"%Y %m")) ##
answered Feb 8 at 12:09
G. GrothendieckG. Grothendieck
153k10135243
add a comment |
I think scale_x_yearmon was meant for xy plots as it calls scale_x_continuous but we can just call scale_x_continuous ourselves like this (only the line marked ## is changed):
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
theme_light() +
xlab('Month') +
ylab('values')+
scale_x_continuous(breaks=as.numeric(df$dates), labels=format(df$dates,"%Y %m")) ##
answered Feb 8 at 12:09
G. GrothendieckG. Grothendieck
153k10135243
add a comment |
I think scale_x_yearmon was meant for xy plots as it calls scale_x_continuous but we can just call scale_x_continuous ourselves like this (only the line marked ## is changed):
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
theme_light() +
xlab('Month') +
ylab('values')+
scale_x_continuous(breaks=as.numeric(df$dates), labels=format(df$dates,"%Y %m")) ##
answered Feb 8 at 12:09
G. GrothendieckG. Grothendieck
153k10135243
I think scale_x_yearmon was meant for xy plots as it calls scale_x_continuous but we can just call scale_x_continuous ourselves like this (only the line marked ## is changed):
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
theme_light() +
xlab('Month') +
ylab('values')+
scale_x_continuous(breaks=as.numeric(df$dates), labels=format(df$dates,"%Y %m")) ##
answered Feb 8 at 12:09
G. GrothendieckG. Grothendieck
153k10135243
answered Feb 8 at 12:09
G. GrothendieckG. Grothendieck
153k10135243
answered Feb 8 at 12:09
G. GrothendieckG. Grothendieck
153k10135243
answered Feb 8 at 12:09
G. GrothendieckG. Grothendieck
153k10135243
153k10135243
add a comment |
add a comment |
I think it's an issue with plotting zoo objects. Use the standard Date class and specify the date label in ggplot. You'll need to add the day into the character string for your dates column. Then you can use scale_x_date and specify the date_labels.
library(tidyverse)
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6)) %>%
arrange(dates) %>%
mutate(dates = as.Date(paste0(dates, "-01")))
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
scale_x_date(date_breaks="1 month", date_labels="%Y %m") +
theme_light() +
xlab('Month') +
ylab('values')
answered Feb 8 at 12:01
nycrefugeenycrefugee
764418
It is not an issue with plotting zoo objects. There are no zoo objects in this problem.
– G. Grothendieck
Feb 8 at 12:16
Sorry I meant yearmon class. I don’t know what’s causing the problem but the solution above provides the desired output
– nycrefugee
Feb 8 at 12:27
add a comment |
I think it's an issue with plotting zoo objects. Use the standard Date class and specify the date label in ggplot. You'll need to add the day into the character string for your dates column. Then you can use scale_x_date and specify the date_labels.
library(tidyverse)
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6)) %>%
arrange(dates) %>%
mutate(dates = as.Date(paste0(dates, "-01")))
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
scale_x_date(date_breaks="1 month", date_labels="%Y %m") +
theme_light() +
xlab('Month') +
ylab('values')
answered Feb 8 at 12:01
nycrefugeenycrefugee
764418
It is not an issue with plotting zoo objects. There are no zoo objects in this problem.
– G. Grothendieck
Feb 8 at 12:16
Sorry I meant yearmon class. I don’t know what’s causing the problem but the solution above provides the desired output
– nycrefugee
Feb 8 at 12:27
add a comment |
I think it's an issue with plotting zoo objects. Use the standard Date class and specify the date label in ggplot. You'll need to add the day into the character string for your dates column. Then you can use scale_x_date and specify the date_labels.
library(tidyverse)
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6)) %>%
arrange(dates) %>%
mutate(dates = as.Date(paste0(dates, "-01")))
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
scale_x_date(date_breaks="1 month", date_labels="%Y %m") +
theme_light() +
xlab('Month') +
ylab('values')
answered Feb 8 at 12:01
nycrefugeenycrefugee
764418
I think it's an issue with plotting zoo objects. Use the standard Date class and specify the date label in ggplot. You'll need to add the day into the character string for your dates column. Then you can use scale_x_date and specify the date_labels.
library(tidyverse)
df <- data.frame(dates = c("2019-01", "2019-02", "2018-08", "2018-09", "2018-10", "2018-11", "2018-12"), values= c(0,1,2,3,4,5,6)) %>%
arrange(dates) %>%
mutate(dates = as.Date(paste0(dates, "-01")))
ggplot(df, aes(x = dates, y = values)) +
geom_bar(position="dodge", stat="identity") +
scale_x_date(date_breaks="1 month", date_labels="%Y %m") +
theme_light() +
xlab('Month') +
ylab('values')
answered Feb 8 at 12:01
nycrefugeenycrefugee
764418
answered Feb 8 at 12:01
nycrefugeenycrefugee
764418
answered Feb 8 at 12:01
nycrefugeenycrefugee
764418
answered Feb 8 at 12:01
nycrefugeenycrefugee
764418
764418
It is not an issue with plotting zoo objects. There are no zoo objects in this problem.
– G. Grothendieck
Feb 8 at 12:16
Sorry I meant yearmon class. I don’t know what’s causing the problem but the solution above provides the desired output
– nycrefugee
Feb 8 at 12:27
add a comment |
It is not an issue with plotting zoo objects. There are no zoo objects in this problem.
– G. Grothendieck
Feb 8 at 12:16
Sorry I meant yearmon class. I don’t know what’s causing the problem but the solution above provides the desired output
– nycrefugee
Feb 8 at 12:27
It is not an issue with plotting zoo objects. There are no zoo objects in this problem.
– G. Grothendieck
Feb 8 at 12:16
It is not an issue with plotting zoo objects. There are no zoo objects in this problem.
– G. Grothendieck
Feb 8 at 12:16
Sorry I meant yearmon class. I don’t know what’s causing the problem but the solution above provides the desired output
– nycrefugee
Feb 8 at 12:27
Sorry I meant yearmon class. I don’t know what’s causing the problem but the solution above provides the desired output
– nycrefugee
Feb 8 at 12:27
add a comment |
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